{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## One Shot Learning using Siamese Networks\n",
    "In this file, we try to use Siamese Networks to train a model in case of less training data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "import os\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# For displaying multiple outputs\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "image_dir = '/home/gaurav/datasets/agri/Tomato_Classifier/MultiClassData/'\n",
    "\n",
    "healthy_images_dir = image_dir + 'Tomato___healthy/'\n",
    "bacterial_spot_images_dir = image_dir + 'Tomato___Bacterial_spot/'\n",
    "early_blight_images_dir = image_dir + 'Tomato___Early_blight/'\n",
    "late_blight_images_dir = image_dir + 'Tomato___Late_blight/'\n",
    "leaf_mold_images_dir = image_dir + 'Tomato___Leaf_Mold/'\n",
    "septoria_leaf_spot_images_dir = image_dir + 'Tomato___Septoria_leaf_spot/'\n",
    "two_spotted_spider_mites_images_dir = image_dir + 'Tomato___Spider_mites_Two_spotted_spider_mite/'\n",
    "target_spot_images_dir = image_dir + 'Tomato___Target_Spot/'\n",
    "mosaic_virus_images_dir = image_dir + 'Tomato___Tomato_mosaic_virus/'\n",
    "yellow_leaf_curl_virus_images_dir = image_dir + 'Tomato___Tomato_Yellow_Leaf_Curl_Virus/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Define a function to load an image file from a directory\n",
    "def loadImageFiles(dir):\n",
    "    files = [(dir + '/'+ f)\n",
    "             for f in os.listdir(dir)\n",
    "             if f.endswith('.jpg')]\n",
    "    return files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# load all the image files\n",
    "healthy_images_files = loadImageFiles(healthy_images_dir)\n",
    "bacterial_spot_images_files = loadImageFiles(bacterial_spot_images_dir)\n",
    "early_blight_images_files = loadImageFiles(early_blight_images_dir)\n",
    "late_blight_images_files = loadImageFiles(late_blight_images_dir)\n",
    "leaf_mold_images_files = loadImageFiles(leaf_mold_images_dir)\n",
    "septoria_leaf_spot_images_files = loadImageFiles(septoria_leaf_spot_images_dir)\n",
    "two_spotted_spider_mites_images_files = loadImageFiles(two_spotted_spider_mites_images_dir)\n",
    "target_spot_images_files = loadImageFiles(target_spot_images_dir)\n",
    "mosaic_virus_images_files = loadImageFiles(mosaic_virus_images_dir)\n",
    "yellow_leaf_curl_virus_images_files = loadImageFiles(yellow_leaf_curl_virus_images_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1591"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(healthy_images_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/gaurav/datasets/agri/Tomato_Classifier/MultiClassData/Tomato___healthy//1e1aa3d8-d12f-47e1-b316-b8656ab3f2b6___RS_HL 0075_final_masked.jpg'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "healthy_images_files[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### For one-shot learning, take 20 images from a particular class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def loadImages(files):\n",
    "    file_subset = files[0:20]\n",
    "    images = [cv2.imread(file) for file in file_subset]\n",
    "    return images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# load all the images from name\n",
    "healthy_images = loadImages(healthy_images_files)\n",
    "bacterial_spot_images = loadImages(bacterial_spot_images_files)\n",
    "early_blight_images = loadImages(early_blight_images_files)\n",
    "late_blight_images = loadImages(late_blight_images_files)\n",
    "leaf_mold_images = loadImages(leaf_mold_images_files)\n",
    "septoria_leaf_spot_images = loadImages(septoria_leaf_spot_images_files)\n",
    "two_spotted_spider_mites_images = loadImages(two_spotted_spider_mites_images_files)\n",
    "target_spot_images = loadImages(target_spot_images_files)\n",
    "mosaic_virus_images = loadImages(mosaic_virus_images_files)\n",
    "yellow_leaf_curl_virus_images = loadImages(yellow_leaf_curl_virus_images_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(healthy_images)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Image exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f2878e7f438>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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6eGTjJi+1vvXRMQVgoc5Vjb98aFhrmubYbSrLsmN9GpDL5SBVhAWgSY0oTUiSBMMwxh6X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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f288c063ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Healty leaf\n",
    "plt.imshow( healthy_images[5] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f2878607f28>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZDAcjSssldF1nMhoRpyFRFJLFKeOxj2sUWV9f5wc/+AGHh0dUKmWSJGE0GlGp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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2878e7fc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Diseased leaf\n",
    "plt.imshow(two_spotted_spider_mites_images[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(256, 256, 3)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Image shape\n",
    "image_shape = healthy_images[0].shape\n",
    "image_shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Formulating the training, validation, and test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Convert the list of images to a numpy array\n",
    "def numpyConverter(images):\n",
    "    return np.array(images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "healthy_images_np = numpyConverter(healthy_images)\n",
    "bacterial_spot_images_np = numpyConverter(bacterial_spot_images)\n",
    "early_blight_images_np = numpyConverter(early_blight_images)\n",
    "late_blight_images_np = numpyConverter(late_blight_images)\n",
    "leaf_mold_images_np = numpyConverter(leaf_mold_images)\n",
    "septoria_leaf_spot_images_np = numpyConverter(septoria_leaf_spot_images)\n",
    "two_spotted_spider_mites_images_np = numpyConverter(two_spotted_spider_mites_images)\n",
    "target_spot_images_np = numpyConverter(target_spot_images)\n",
    "mosaic_virus_images_np = numpyConverter(mosaic_virus_images)\n",
    "yellow_leaf_curl_virus_images_np = numpyConverter(yellow_leaf_curl_virus_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20, 256, 256, 3)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Validation\n",
    "yellow_leaf_curl_virus_images_np.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Formulate the training set \n",
    "\n",
    "X: have two parallel input images while Y is 1 if they belong to same cateogry otherwise 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# X: Concatenate all images\n",
    "all_images_np = np.stack( (healthy_images_np, bacterial_spot_images_np,\n",
    "                                 early_blight_images_np, late_blight_images_np, \n",
    "                                 leaf_mold_images_np, septoria_leaf_spot_images_np, \n",
    "                                 two_spotted_spider_mites_images_np, target_spot_images_np,\n",
    "                                 mosaic_virus_images_np, yellow_leaf_curl_virus_images_np), axis = 0 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10, 20, 256, 256, 3)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_images_np.shape\n",
    "n_classes, n_images_per_class, w, h, _ = all_images_np.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "def formulateBatch(batchSize: int):\n",
    "    # generate two images, one from same batch and other from different batch\n",
    "    training_pairs = []\n",
    "    training_labels = []\n",
    "    \n",
    "    for index in range(batchSize):\n",
    "        # choose a random class\n",
    "        get_anchor_index = random.choice(range(n_classes))\n",
    "        \n",
    "        # select two images from the anchor class\n",
    "        positive_image_index_1 = random.choice(range(n_images_per_class))\n",
    "        postive_image_1 = all_images_np[get_anchor_index, positive_image_index_1]\n",
    "        positive_image_index_2 = random.choice(range(n_images_per_class))\n",
    "        postive_image_2 = all_images_np[get_anchor_index, positive_image_index_2]\n",
    "        y_positive_label = 1\n",
    "        \n",
    "        # Select two images one from the anchor class and one from the negative class\n",
    "        negative_class_index_list =  list(range(n_classes))\n",
    "        negative_class_index_list.remove(get_anchor_index)\n",
    "        negative_class_index = random.choice(negative_class_index_list)\n",
    "        negative_image_index = random.choice(range(n_images_per_class))\n",
    "        negative_image = all_images_np[negative_class_index, negative_image_index]\n",
    "        y_negative_label = 0\n",
    "        \n",
    "        # generate pairs\n",
    "        X_positive_pair = np.stack((postive_image_1,postive_image_2), 0)\n",
    "        training_pairs.append(X_positive_pair)\n",
    "        training_labels.append(y_positive_label)\n",
    "        X_negative_pair = np.stack((postive_image_1,negative_image), 0)\n",
    "        training_pairs.append(X_negative_pair)\n",
    "        training_labels.append(y_negative_label)\n",
    "    \n",
    "    training_pairs_np = np.array(training_pairs)\n",
    "    return training_pairs_np, training_labels\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Generate training batch\n",
    "X_pairs, Y_labels = formulateBatch(2000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sanity Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4000, 2, 256, 256, 3)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "4000"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# X = (training_examples, no_of_images, w, h, c) and Y = 1 if two images are same else 0\n",
    "X_pairs.shape\n",
    "len(Y_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def sanity_checker( idx ):\n",
    "    plt.imshow( X_pairs[idx,0] )\n",
    "    plt.show();\n",
    "    plt.imshow( X_pairs[idx,1] )\n",
    "    plt.show();\n",
    "    print( Y_labels[idx])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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A6/BI8MxS/7Yti/e+iuvmdd/iQccDHRhy17F/e4utC1cYT6ds6lkYb1B250hucJMxPnrc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\nEonEPpIxJBKJfSRjSCQS+/g/mE78q6luovEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2878610550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rFf1qRex71Dl8aKPycp5xIi36sIhaQcwtug1FEMxaZIIISSv0Hdsrl+k3G+bd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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f28781d93c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "sanity_checker(100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train and test split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model: One shot learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "/opt/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "import keras\n",
    "import tensorflow as tf\n",
    "from keras import backend as K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# import necessary building blocks\n",
    "from keras.models import Sequential, Model\n",
    "from keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Activation, Dropout, Input, Lambda, merge\n",
    "from keras.layers.advanced_activations import LeakyReLU"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define the Siamese Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "K.clear_session()  # clear default graph\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Conv2D(filters=16, kernel_size=(3,3), strides=1, padding='same', input_shape=image_shape))\n",
    "model.add(LeakyReLU(0.1))        \n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model.add(Conv2D(filters=32, kernel_size=(3,3), strides=1, padding='same', input_shape=image_shape))\n",
    "model.add(LeakyReLU(0.1))   \n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model.add(Conv2D(filters=64, kernel_size=(3,3), strides=1, padding='same', input_shape=image_shape))\n",
    "model.add(LeakyReLU(0.1))     \n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model.add(Conv2D(filters=128, kernel_size=(3,3), strides=1, padding='same', input_shape=image_shape))\n",
    "model.add(LeakyReLU(0.1))     \n",
    "model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "\n",
    "model.add(Flatten())\n",
    "    \n",
    "model.add(Dense(128))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_1 (Conv2D)            (None, 256, 256, 16)      448       \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_1 (LeakyReLU)    (None, 256, 256, 16)      0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 85, 85, 16)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 85, 85, 32)        4640      \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_2 (LeakyReLU)    (None, 85, 85, 32)        0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 28, 28, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 28, 28, 64)        18496     \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_3 (LeakyReLU)    (None, 28, 28, 64)        0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 9, 9, 64)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_4 (Conv2D)            (None, 9, 9, 128)         73856     \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_4 (LeakyReLU)    (None, 9, 9, 128)         0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2 (None, 3, 3, 128)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 1152)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 128)               147584    \n",
      "=================================================================\n",
      "Total params: 245,024\n",
      "Trainable params: 245,024\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Creates the two netwoks\n",
    "first_input = Input(image_shape)\n",
    "second_input = Input(image_shape)\n",
    "first_network_encoded = model(first_input)\n",
    "second_network_encoded = model(second_input)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TensorShape([Dimension(None), Dimension(128)])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_network_encoded.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Compute the L1 distance \n",
    "l1_distance_layer = Lambda(lambda x: K.abs(x[0]-x[1]))\n",
    "l1_distance = l1_distance_layer([first_network_encoded, second_network_encoded])\n",
    "prediction = Dense(units = 1, activation = 'sigmoid')(l1_distance)\n",
    "one_shot_model = Model(inputs = [first_input, second_input], outputs = prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Define the optimizer and compile the model\n",
    "one_shot_model.compile(loss='binary_crossentropy', metrics=['accuracy'],\n",
    "                           optimizer='adam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 256, 256, 3)  0                                            \n",
      "__________________________________________________________________________________________________\n",
      "input_2 (InputLayer)            (None, 256, 256, 3)  0                                            \n",
      "__________________________________________________________________________________________________\n",
      "sequential_1 (Sequential)       (None, 128)          245024      input_1[0][0]                    \n",
      "                                                                 input_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "lambda_1 (Lambda)               (None, 128)          0           sequential_1[1][0]               \n",
      "                                                                 sequential_1[2][0]               \n",
      "__________________________________________________________________________________________________\n",
      "dense_2 (Dense)                 (None, 1)            129         lambda_1[0][0]                   \n",
      "==================================================================================================\n",
      "Total params: 245,153\n",
      "Trainable params: 245,153\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "one_shot_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "callbacks_list = [ReduceLROnPlateau(monitor='val_loss',\n",
    "                                    factor=0.1, \n",
    "                                    patience=2),\n",
    "                 EarlyStopping(monitor='val_loss',\n",
    "                               patience=3),\n",
    "                 ModelCheckpoint(filepath='my_model.h5',\n",
    "                                 monitor='val_loss',\n",
    "                                 save_best_only=True)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4000, 256, 256, 3)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_pairs[:,0,:,:].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 3200 samples, validate on 800 samples\n",
      "Epoch 1/10\n",
      "3200/3200 [==============================] - 93s 29ms/step - loss: 1.5490 - acc: 0.6088 - val_loss: 0.6676 - val_acc: 0.6600\n",
      "Epoch 2/10\n",
      "3200/3200 [==============================] - 93s 29ms/step - loss: 0.4728 - acc: 0.7913 - val_loss: 0.4801 - val_acc: 0.7925\n",
      "Epoch 3/10\n",
      "3200/3200 [==============================] - 93s 29ms/step - loss: 0.2754 - acc: 0.8969 - val_loss: 0.3746 - val_acc: 0.8525\n",
      "Epoch 4/10\n",
      "3200/3200 [==============================] - 93s 29ms/step - loss: 0.1698 - acc: 0.9500 - val_loss: 0.3088 - val_acc: 0.8938\n",
      "Epoch 5/10\n",
      "3200/3200 [==============================] - 93s 29ms/step - loss: 0.1021 - acc: 0.9734 - val_loss: 0.2538 - val_acc: 0.9062\n",
      "Epoch 6/10\n",
      "3200/3200 [==============================] - 93s 29ms/step - loss: 0.0694 - acc: 0.9841 - val_loss: 0.2688 - val_acc: 0.9163\n",
      "Epoch 7/10\n",
      "3200/3200 [==============================] - 93s 29ms/step - loss: 0.0516 - acc: 0.9903 - val_loss: 0.3018 - val_acc: 0.9062\n",
      "Epoch 8/10\n",
      "3200/3200 [==============================] - 93s 29ms/step - loss: 0.0683 - acc: 0.9831 - val_loss: 0.2947 - val_acc: 0.9137\n"
     ]
    }
   ],
   "source": [
    "BATCH_SIZE = 64\n",
    "EPOCHS = 10\n",
    "\n",
    "history = one_shot_model.fit([X_pairs[:,0,:,:], \n",
    "                              X_pairs[:,1,:,:]],\n",
    "                             Y_labels,  # prepared data\n",
    "                             batch_size=BATCH_SIZE,\n",
    "                             epochs=EPOCHS,\n",
    "                             callbacks=callbacks_list,                             \n",
    "                             validation_split = 0.2,\n",
    "                             verbose=1\n",
    "                             )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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